Results 81 to 90 of about 787,502 (308)

Robust Chinese Short Text Entity Disambiguation Method Based on Feature Fusion and Contrastive Learning

Information
To address the limitations of existing methods of short-text entity disambiguation, specifically in terms of their insufficient feature extraction and reliance on massive training samples, we propose an entity disambiguation model called COLBERT, which ...
Qishun Mei, Xuhui Li
doaj   +1 more source

Position‐dependent offset corrections for ring applicator reconstruction in cervical cancer brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Due to the tight curvature in their design, ring applicators are usually associated with large positioning errors. The standard practice to correct for these deviations based on global offsets may not be sufficient to comply with the recommended tolerance.
Leon G. Aldrovandi, Matthias E. T. Dessein, Shelley M. Pearson, Shelley M. Bulling   +3 more
wiley   +1 more source

Classification of Proactive Personality: Text Mining Based on Weibo Text and Short-Answer Questions Text

IEEE Access, 2020
This study focused on the topic of predicting “proactive personality”. With 901 participants selected by cluster sampling method, targeted short-answer questions text and participants' social media post text (Weibo) were obtained while ...
Peng Wang, Yun Yan, Yingdong Si, Gancheng Zhu, Xiangping Zhan, Jun Wang, Runsheng Pan   +6 more
doaj   +1 more source

Capturing what matters: Patient‐reported LGI1‐ANTibody encephalitis outcome RatiNg scale (LANTERN)

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Background LGI1‐antibody encephalitis (LGI1‐Ab‐E) is a common form of autoimmune encephalitis where most patients demonstrate ‘good’ clinician‐rated outcomes. However, more targeted questionnaires reveal numerous debilitating symptoms for many years.
Mark J Kelly, Barbara Wagner, Bryan Ceronie, Christine Strippel, Ann Yee Lin, Adam Handel, John Soltys, Sophie Binks, Philip A Powell, Sarosh R Irani   +9 more
wiley   +1 more source

Short Text Classification Improved by Feature Space Extension [PDF]

, 2019
With the explosive development of mobile Internet, short text has been applied extensively. The difference between classifying short text and long documents is that short text is of shortness and sparsity. Thus, it is challenging to deal with short text classification owing to its less semantic information. In this paper, we propose a novel topic-based
arxiv   +1 more source

Prompt-Learning for Short Text Classification [PDF]

arXiv, 2022
In the short text, the extremely short length, feature sparsity, and high ambiguity pose huge challenges to classification tasks. Recently, as an effective method for tuning Pre-trained Language Models for specific downstream tasks, prompt-learning has attracted a vast amount of attention and research.
arxiv  

Spinal Cord Abnormalities in Early Pediatric Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Spinal cord lesions and atrophy in the cervical region are common in adult multiple sclerosis (MS) and correlate with disability. Whether similar abnormalities occur in pediatric MS patients is largely unknown. Clinical and MRI evaluations were performed in 38 pediatric MS patients and 13 healthy controls (HC).
Monica Margoni, Paola Valsasina, Paolo Preziosa, Martina Rubin, Mor Gueye, Lucia Moiola, Maria Assunta Rocca, Massimo Filippi   +7 more
wiley   +1 more source

Effects of Pharmacologic and Nonpharmacologic Interventions for the Management of Sleep Problems in People With Fibromyalgia: Systematic Review and Network Meta‐Analysis of Randomized Controlled Trials

Arthritis Care &Research, EarlyView.
Objective Fibromyalgia is a chronic condition characterized by widespread musculoskeletal pain and fatigue. Almost everyone with fibromyalgia has sleep problems. We aimed to evaluate the effectiveness and safety of current interventions for the management of fibromyalgia‐related sleep problems.
Jemma Hudson, Mari Imamura, Clare Robertson, Daniel Whibley, Lorna Aucott, Katie Gillies, Paul Manson, Debra Dulake, Abhishek Abhishek, Nicole K. Y. Tang, Gary J. Macfarlane, Miriam Brazzelli   +11 more
wiley   +1 more source

Language economy in short text messages [PDF]

Studia Linguistica Universitatis Iagellonicae Cracoviensis, 2011
The purpose of this paper is to investigate some of the formal characteristics of the genre of the short text message, with a special focus on the concept of language economy, which typically underlies the use of this mode of communication. The subject of analysis are text messages in two languages, English and Polish, which are compared in terms of ...
openaire   +3 more sources

Effectiveness of a Telephone‐Delivered Walk With Ease Program on Arthritis‐Related Symptoms, Function, and Activity: A Randomized Trial

Arthritis Care &Research, EarlyView.
Objective Walk With Ease (WWE) is a six‐week arthritis‐appropriate evidence‐based physical activity program traditionally offered in a face‐to‐face format. Because many populations encounter participation barriers to in‐person programs, WWE was modified for telephone delivery (WWE‐T).
Christine A. Pellegrini, Sara Wilcox, Yesil Kim, Scott Jamieson, Katherine DeVivo, Daniel Heidtke   +5 more
wiley   +1 more source